Structural health and condition monitoring via electrical impedance tomography in self-sensing materials: a review
TN Tallman, DJ Smyl - Smart Materials and Structures, 2020 - iopscience.iop.org
Much recent work has been devoted to utilizing changes in either the inherent or imparted
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …
Application of electrical capacitance tomography in pharmaceutical fluidised beds–a review
Fluidised beds are commonly used in the pharmaceutical industry for granulation, drying
and coating of powder or pellets. The product quality strongly depends on the operation of …
and coating of powder or pellets. The product quality strongly depends on the operation of …
Logistic regression for machine learning in process tomography
The main goal of the research presented in this paper was to develop a refined machine
learning algorithm for industrial tomography applications. The article presents algorithms …
learning algorithm for industrial tomography applications. The article presents algorithms …
[HTML][HTML] Fuzzy logic type-2 intelligent moisture control system
M Woźniak, J Szczotka, A Sikora, A Zielonka - Expert Systems with …, 2024 - Elsevier
In this article we present a model of adjustable moisture control for historical buildings.
Proposed system is developed in a form of flexible IoT infrastructure in which a complex …
Proposed system is developed in a form of flexible IoT infrastructure in which a complex …
Comparison of selected machine learning algorithms for industrial electrical tomography
The main goal of this work was to compare the selected machine learning methods with the
classic deterministic method in the industrial field of electrical impedance tomography. The …
classic deterministic method in the industrial field of electrical impedance tomography. The …
[HTML][HTML] Optimising the use of Machine learning algorithms in electrical tomography of building Walls: Pixel oriented ensemble approach
This paper presents the results of research on identifying moisture inside the walls of
buildings with the use of electrical impedance tomography (EIT). The original, complex pixel …
buildings with the use of electrical impedance tomography (EIT). The original, complex pixel …
Electrical resistivity measurements for nondestructive evaluation of chloride-induced deterioration of reinforced concrete—A review
KPV Robles, JJ Yee, SH Kee - Materials, 2022 - mdpi.com
The objective of this study is to review, evaluate, and compare the existing research and
practices on electrical resistivity as a nondestructive technique in evaluating chloride …
practices on electrical resistivity as a nondestructive technique in evaluating chloride …
Random forest algorithm and support vector machine for nondestructive assessment of mass moisture content of brick walls in historic buildings
A Hoła, S Czarnecki - Automation in Construction, 2023 - Elsevier
The article presents the results of experimental research and numerical analyses, and also
shows the usefulness of the random forest algorithm and the support vector machine for the …
shows the usefulness of the random forest algorithm and the support vector machine for the …
Comparison of machine learning methods in electrical tomography for detecting moisture in building walls
This paper presents the results of research on the use of machine learning algorithms and
electrical tomography in detecting humidity inside the walls of old buildings and structures …
electrical tomography in detecting humidity inside the walls of old buildings and structures …
Comparison of machine learning methods for image reconstruction using the LSTM classifier in industrial electrical tomography
Electrical tomography is a non-invasive method of monitoring the interior of objects, which is
used in various industries. In particular, it is possible to monitor industrial processes inside …
used in various industries. In particular, it is possible to monitor industrial processes inside …